Data Strategy & Governance Consultant

Accenture
Carmel-by-the-Sea, CA, United States
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Analysis Cloud Computing Software Documentation Data Governance Metadata Meta-Data Management Microsoft Software Data Processing Data Classification Snowflake Data Strategy
+3 more
Collibra Data Management Databricks

Job description

You are a Data Strategy & Governance Consultant who executes the design and operationalization of enterprise data governance frameworks. You thrive on the hands-on work of building stewardship processes, authoring data policies, and configuring governance tooling so that data is trusted, well-managed, and ready for analytics and AI. You partner closely with business and technology stakeholders and turn governance concepts into working reality.

The Work:

  • Execute data governance design - support the design and operationalization of governance frameworks covering data ownership, stewardship, data quality standards, metadata management, and policy enforcement.
  • Operationalize governance models - work with business and technology stakeholders to turn data strategy into actionable governance operating models that enable trusted data for analytics and AI.
  • Support governance structures - help establish governance councils, define data classification and access policies, and document standards and processes.
  • Configure governance tooling - implement and drive adoption of cataloging, lineage, and data quality tooling (e.g., Databricks, Snowflake, Collibra, Alation, Microsoft Purview).
  • Support compliance alignment - ensure governance work aligns with regulatory and privacy requirements and contributes to master data management efforts.

Travel may be required for this role, varying from 0 to 80% depending on business need and client requirements.

Requirements

Artificial Intelligence (AI), Business Processes, Cataloguing, Cloud Computing, Consulting, Data Analysis, Data Modeling, Data Processing, Data Quality, Documentation Standards, Ecosystems, Government Organizations, Leadership, Machine Tool, Master Data Management (MDM), Metadata, Microsoft Product Family, Policy Development, Privacy Regulations, Process Improvement, Professional Services, Quality Metrics, Revenue Growth, Stewardship, Technical Operations, Willing to Travel

About the company

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 790,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at accenture.com.

Our AI and Data practice sits at the intersection of deep industry knowledge and applied AI and data engineering. We help the world’s leading Resources and Utilities organizations reinvent how they run - designing the data foundations, AI platforms, and governance models that turn data into trusted, production-grade intelligence. We are not looking for generalists who advise on AI in the abstract. We need practitioners who understand how enterprises actually operate, where the friction lives, and how to engineer smarter solutions using AI and data to fundamentally transform business processes and outcomes.

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